The impact of altering emission data precision on compression efficiency and accuracy of simulations of the community multiscale air quality model

Walters, Michael S.; Wong, David C.

doi:https://doi.org/10.5194/gmd-16-1179-2023

Articles | Volume 16, issue 4

https://doi.org/10.5194/gmd-16-1179-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-1179-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 4

Development and technical paper

|

20 Feb 2023

Development and technical paper |

| 20 Feb 2023

The impact of altering emission data precision on compression efficiency and accuracy of simulations of the community multiscale air quality model

Michael S. Walters and David C. Wong

Data sets

Tool and python programs for the paper ``The Impact of Altering Emission Data Precision on Compression Efficiency and Accuracy of Simulations of the Community Multiscale Air Quality Model'' D. Wong https://doi.org/10.5281/zenodo.6620983

2016 CMAQ v531 12 kim CONUS domain test dataset for 1/1 -- 1/5/2016 D. Wong https://doi.org/10.5281/zenodo.6624164

CMAQ Model Version 5.3 Input Data -- 1/1/2016--12/31/2016 12 km CONUS CMAS https://doi.org/10.15139/S3/MHNUNE

Short summary

A typical numerical simulation that associates with a large amount of input and output data, applying popular compression software, gzip or bzip2, on data is one good way to mitigate data storage burden. This article proposes a simple technique to alter input, output, or input and output by keeping a specific number of significant digits in data and demonstrates an enhancement in compression efficiency on the altered data but maintains similar statistical performance of the numerical simulation.